54 boosters for "library" — AI-graded, open source, ready to install
Copilot instructions for iTwin.js core development that enforce API stability policies, breaking change prevention, and monorepo architecture patterns. Essential for teams maintaining this critical BIM/digital-twin infrastructure library.
This booster provides Copilot instructions for working with reactable, an R htmlwidget library for creating interactive data tables in Shiny applications. It helps R developers integrate responsive table functionality into their Copilot-assisted workflows.
A Copilot-integrated prompt providing development context and coding standards for the UniFi Go library (github.com/unpoller/unifi/v5), enabling developers to quickly write compliant code that queries UniFi controllers for network data.
Heuristic scoring (no AI key configured).
This booster provides GitHub Copilot instructions for developing the tanstack-table-search-params library, a React hook that syncs TanStack Table state with URL search parameters. It benefits React developers building data tables that need shareable, bookmarkable state persistence.
A Cursor IDE rule set that enforces consistent Rust coding standards, project structure, and architectural patterns for the LLML library. Developers working on LLML in Cursor will benefit from automated guidance on module organization, naming conventions, and API design.
An MCP server that integrates Open Library's vast book database into Claude, enabling AI assistants to search for books, retrieve author information, and access literary metadata. Useful for developers building book-focused AI applications, researchers, and anyone needing programmatic access to library data.
Enables efficient searching of Zotero libraries through Python code execution, avoiding context crashes while providing multi-strategy search with automatic deduplication. Ideal for researchers and developers who need comprehensive, safe access to large reference collections.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
mesh-coordinator is an agent designed to orchestrate multi-agent tasks while enforcing library-first development practices. It benefits teams building modular, reusable agent systems who want to avoid code duplication and maintain consistency across projects.
An agent that helps developers design and manage API versioning strategies using library-first principles and reusable patterns. Teams building multi-version APIs benefit from structured guidance on compatibility and migration planning.
The apache-camel-integrator agent helps developers integrate Apache Camel-based enterprise integration patterns into their projects by enforcing library-first constraints and reusing existing components. It benefits teams building microservices and event-driven architectures who need standardized integration workflows.
tdd-london-swarm is an agent that enforces test-driven development practices with a library-first constraint, helping teams reuse existing components and patterns before writing new code. It benefits development teams adopting TDD methodologies who want to maintain code consistency and reduce duplication.
A planner agent that helps decompose and execute multi-step agent tasks by enforcing library-first development practices and reuse patterns. Useful for teams building complex agent workflows who want to avoid duplicating code across projects.
The sync-coordinator agent manages synchronization tasks across Claude platforms with library-first constraints, enabling teams to maintain consistent code patterns and reusable components. It benefits developers building multi-project integrations who need centralized sync coordination.
A data steward agent that enforces library-first development practices by checking component catalogs and patterns before implementing solutions. It helps teams maintain code reuse and consistency across projects.
A workflow automation agent that leverages library-first principles to reuse and adapt existing components for agent tasks across Claude Code and Desktop platforms. Developers building multi-step automation solutions benefit from its structured approach to code reuse and pattern compliance.
An agent that audits codebases for technical debt by enforcing library-first development practices and checking against existing components and patterns. Useful for teams managing code quality and reducing duplication across projects.
A security-focused agent that manages secrets and sensitive data across projects by enforcing library-first patterns and reusable components. Developers working with Claude Code and Claude Desktop benefit from standardized secret handling and compliance workflows.
A pseudocode agent designed to help with agent-related tasks by enforcing library-first development practices and component reuse across projects. Beneficial for teams seeking to standardize code generation and reduce duplication.
An ethics-focused agent designed for research tasks that enforces library-first development patterns and component reuse across Claude projects.
A quantum computing research agent that provides structured execution phases and library-first development practices for quantum research tasks. Useful for researchers and developers working on quantum computing projects within Claude-compatible environments.
A Claude agent configured for neural-network and platform tasks with library-first development constraints and standardized operating procedures. Useful for developers building agent-based workflows who need structured governance and component reuse patterns.
